Types of Models

Using systems modelling for evidence-informed mental health reform in Australia.

To introduce Acumen, members pooled their expertise to draft an article about the role of systems modelling in Australian mental health reform processes. The article provides an overview of current and previous mental health reform plans in Australia, identifies and describes different modelling approaches and the types of topics they are particularly well suited to addressing and discusses challenges and opportunities for planners and policymakers relating to the commissioning, development and use of model based tools.

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Simulation modelling in health care lecture.

Year: 2020 Type: Lecture. Presenters: Long, Katrina and Meadows, Graham and McDermott, Fiona and Atkison, Jo-An. Institution: Department of Psychiatry, Monash University. Topic: A high-level, simplified overview of simulation modelling in health care written and presented for healthcare professionals completing the Masters of Psychiatry at Monash University. Duration: 0 hours, 21 minutes. >

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Mental health systems modelling for evidence-informed service reform in Australia

Peer reviewed: Yes. Authors: Whiteford, Harvey and Bagheri, Nasser and Diminic, Sandra and Enticott, Joanne and Gao, Caroline X and Hamilton, Matthew and Hickie, Ian and Le, Long K and Lee, Yong Y and Long, Katrina M and McGorry, Patrick and Meadows, Graham and Mihalopoulos, Cathrine and Occhipinti, Jo-An and Rock, Daniel and Rosenberg, Sebastian and Salvador-Carulla, Luis and Skinner, Adam. Publication: PsyArXiv Year: 2023 DOI: https://doi.org/10.1177/00048674231172113 Method: Descriptive overview of the role of modelling in mental health policy and system design, explanation of concepts useful for understanding mental health modelling and overview of how ta new network of modellers and planners hopes to support the development of better and more useful mental health systems models.

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The National Mental Health Service Planning Framework: Where has it come from and what is its future?

Peer reviewed: Yes. Authors: Whiteford, Harvey and Diminic, Sandra. Publication: Australian and New Zealand Journal of Psychiatry Year: 2020 DOI: https://doi.org/10.1177/0004867420963723 Method: Descriptive account of the background and application of the National Mental Health Service Planning Framework. Message: Decentralised regional planning requires the application of a planning framework that sets targets for the same level of care for all Australians with equivalent needs, accounting for the specific characteristics and needs of local populations and the existing services and barriers to care.

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Beyond prevention: which interventions will flatten the mental health and suicide curve post COVID-19.

Year: 2020 Type: Webinar Presenters: Hickie, Ian and Occhipinti, Jo-An and Sturgess, Julie and Iorfino, Frank and Lawson, Kenny and Hamilton, Matthew. Institution: Brain and Mind Centre, University of Sydney Topic: An overview of a number of modelling projects to help identify appropriate policy responses to the anticipated mental health impacts of the COVID-19 pandemic. Duration: 1 hour, 12 minutes

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What is a mental health systems model?

A mental health systems model is a mathematical representation of the systems (economic, environmental, service, social and technical) that shape population mental health. These mathematical representations can be succinct (a brief mathematical formula) or highly detailed (complex networks of linked equations expressed as large bodies of computer code). When applied to relevant data, these models can produce insights to help planners and policy makers address a range of decision problems.

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Simulation modelling in mental health: A systematic review

Peer reviewed: Yes Authors: Long, Katrina M and Meadows, Graham N Publication: Journal of Simulation Year: 2018 DOI: https://doi.org/10.1057/s41273-017-0062-0 Method: A systematic review the use of simulation modelling in mental healthcare. Message: There were widespread and innovative applications of simulation in the areas of medical decision making and epidemiology, with health system planning and optimisation relatively underrepresented. Markov modelling was the preferred method across area and illness. However, the literature is currently undermined by a lack of coherence and evidence of implementation, and there is an ongoing issue of accessing unpublished models from healthcare and government organisations.

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